You’ll recall, I had Andy Kershner on the podcast a few episodes back. Towards the end of that episode, Andy briefly mentioned a cloud-based algo development platform and fund, CloudQuant, which is a subsidiary of Kershner Trading Group…
I mention this, because with me on this episode is Morgan Slade—the CEO of CloudQuant. Morgan’s career as a trader and portfolio manager began 20-years back, and since then he’s worked at many prominent firms and funds. To name just a few; Millburn Ridgefield, Merrill Lynch, Citadel and Allston Trading.
Topics of discussion:
- How large funds and institutions put on $100-million positions; how they work orders into the market, structure the trade and handle market impact etc.
- Morgan explains why he feels as though the common approach to strategy development is counter intuitive, and shares an alternative 3-step formula.
- A simple description of how machine learning and data science is being used by traders, and an example of how ML has been used to improve existing strategies.
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Morgan Slade of CloudQuant—former trader at: Millburn Ridgefield, Merrill Lynch, Carlson Capital, Penson Worldwide, Citadel & Allston Trading.
Links and resources mentioned:
- Python Machine Learning [Amazon]
- Quantitative Trading [Amazon]
- Andy Kershner [Episode 128]
- CloudQuant.com
- @CloudQuant
- Quandl.com
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